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Christian Katzenbach and Kirsten GollatzAlexander von Humboldt Institute for Internet and Society, Germany
AbstractFollowing recent theoretical contributions, this article suggests a new approach to finding the governance in Internet governance. Studies on Internet governance rely on contradictory notions of governance. The common understanding of governance as some form of deliberate steering or regulation clashes with equally common definitions of Internet governance as distributed modes of ordering. Drawing on controversies in the broader field of governance and regulation studies, we propose to resolve this conceptual conundrum by grounding governance in mundane activities of coordination. We define governance as reflexive coordination -focusing on those 'critical moments', when routine activities become problematic and need to be revised, thus, when regular coordination itself requires coordination. Regulation, in turn, can be understood as targeted public or private interventions aiming to influence the behaviour of others. With this distinction between governance and regulation, we offer a conceptual framework for empirical studies of doing Internet governance.
Presently, we are witnessing an intense debate about technological advancements in artificial intelligence(AI) research and its deployment in various societal domains and contexts. In this context, media andcommunications is one of the most prominent and contested fields. Bots, voice assistants, automated (fake)news generation, content moderation and filtering – all of these are examples of how AI and machinelearning are transforming the dynamics and order of digital communication.On 20 March 2018 the Alexander von Humboldt Institute for Internet and Society together with the non-governmental organisation Access Now hosted the one-day expert workshop “The turn to AI in governingcommunication online”. International experts from academia, politics, civil society and business gathered inBerlin to discuss the complex socio-technical questions and issues concerning subjects such as artificialintelligence technologies, machine learning systems, the extent of their deployment in content moderationand the range of approaches to understanding the status and future impact of AI systems for governingsocial communication on the internet.This workshop report summarises and documents the authors’ main takeaways from the discussions. Thediscussions, comments and questions raised and responses from experts also fed into the report. The reporthas been distributed among workshop participants. It is intended to contribute current perspectives to thediscourse on AI and the governance of communication.
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